A package for running predictions using fAIr
Project description
fAIr Predictor
Run your fAIr Model Predictions anywhere !
Prerequisites
fAIr Predictor has support for GPU , CPU and tflite based devices
- Install
tensorflow-cpuortflite-runtimeaccording to your requirements
tflite-runtime support is for having very light deployment in order to run inference &
tensorflow-cpu might require installation of efficientnet
Example on Collab
# Install
!pip install fairpredictor
# Import
from predictor import predict
# Parameters for your predictions
bbox=[100.56228021333352,13.685230854641182,100.56383321235313,13.685961853747969]
model_path='checkpoint.h5'
zoom_level=20
tms_url='https://tiles.openaerialmap.org/6501a65c0906de000167e64d/0/6501a65c0906de000167e64e/{z}/{x}/{y}'
# Run your prediction
my_predictions=predict(bbox,model_path,zoom_level,tms_url)
print(my_predictions)
## Visualize your predictions
import geopandas as gpd
import matplotlib.pyplot as plt
gdf = gpd.GeoDataFrame.from_features(my_predictions)
gdf.plot()
plt.show()
Works on CPU ! Can work on serverless functions, No other dependencies to run predictions
Use raster2polygon
There is another postprocessing option that supports distance threshold between polygon for merging them , If it is useful for you install raster2polygon by :
pip install raster2polygon
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
fairpredictor-0.0.28.tar.gz
(10.1 kB
view details)
File details
Details for the file fairpredictor-0.0.28.tar.gz.
File metadata
- Download URL: fairpredictor-0.0.28.tar.gz
- Upload date:
- Size: 10.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.10.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 6fb68a998e0277d7c426cea8b260eada738830be367bd3b2f8f696ae729d71d4 |
|
| MD5 | 90682a5a895b8b3e60df7aeeacdb1c9f |
|
| BLAKE2b-256 | 5fc01601f034689136a511be8a39c623566d70dede7f71e4002106eb1dd371c0 |
